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Ki Rai PSYCHOLOGY YEAR 2 English 33 cards

Cards in this deck (33)

  1. 1two types of correlation coefficient?pearsons r, spearmans rho
  2. 2what are the limits of correlation strength?-1 to 1
  3. 3four terms relating to correlation?scatterplot, direction (pos, neg, zero), correlation coefficient, predictability (variance explained)
  4. 4what is the formula for predictabilityr squared
  5. 5correlation is notcausation
  6. 6what is a regression lineline of best fit
  7. 7what goes on the y axis in regressionthe variable we predict: criterion (dependent)
  8. 8what goes on the x axis in regressionthe variable we predict from: predictor (independent)
  9. 9if r is a strong negative the line will go fromthe top of the y axis to the right of the x axis
  10. 10if r is 0 the line will gohorizontal straight across
  11. 11what is the regression equationy = a + bX + e
  12. 12in the regression equation, what is aintercept
  13. 13in the regression equation, what is bslope
  14. 14in the regression equation, what is eerror
  15. 15what does regression achievehelps us to predict a value of y with a given value of x
  16. 16three terms associated with a regression lineslope, intercept, error
  17. 17what is the slope in regressionthe expected increase or decrease in the DV (y) as a function of an increase or decrease in the IV (x)
  18. 18what is the equation for the slopeb = r (SDy / SDx)
  19. 19what is the intercept in regressionthe expected value of y when the value of x is equal to zero (where the line is on the y axis when x is zero)
  20. 20what is the equation for the intercepta = mean of y minus b times the mean of x (mY - b,mX)
  21. 21what are the three steps to linear regressionsexplore the data (normally distributed?), scatter plot (assumptions met?), run the linear regression analysis
  22. 22in spss how do you test normal distributionanalyze > descriptive statistics > explore
  23. 23in spss how do you test assumptions met via a scatter plotgraphs > chart builder
  24. 24in spss how do you run linear regressionanalyze > regression > linear
  25. 25what are the 3 assumptions of linear regressionthe relationship is linear, y is normal at all values of x, y's spread is the same at all values of x
  26. 26define homoscedasticdistributed equally across the line
  27. 27two terms associated with outliersleverage, error
  28. 28define leveragedistance from the mean
  29. 29define errordistance from regression line
  30. 30how much leverage and error is needed to affect the regression line a lotboth v high
  31. 31in the spss output for linear regression, what is r squaredamount of variance explained in the sample
  32. 32in the spss output for linear regression, what is r squared adjustedamount of variance explained in the population
  33. 33advantage of regression in individuals?even tho a prediction about an individual isnt necessarily true, we can replace expensive test w cheap predictor and screen lots of ppl then use predictions to decide who to give real test to

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PSYCHOLOGY YEAR 2 (2 rmd) Flashcards on six, created by Ki Rai on 25/03/2019.
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